Artisan AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

Artisan AI AI

How do you stop an AI coding agent from skipping your project's conventions? Here's the approach I landed on for Laravel.

**The problem** Every time I spun up a Laravel project, I'd do the same dance: copy `phpstan.neon` from the last repo, copy `pint.json`, wire up Pest, set up a pre-commit hook, write a `CLAUDE.md` full of engineering rules… and then drift would set in. Repo A was on PHPStan level 5, repo B on 7. One had architecture tests, the others didn't. The "rules" lived in my head. Then I started leaning on AI agents (Claude Code, Cursor, Copilot) and a new problem showed up: **the agent would happily ignore the conventions.** It'd write untyped code, skip tests, invent patterns the rest of the repo didn't use. A `CLAUDE.md` full of rules helps, but rules a model *can choose to skip* aren't guardrails — they're suggestions. **What I wanted** - One command to set up a fresh Laravel repo with the *same* guardrails every time. - A quality gate the agent literally **cannot skip** — not just docs it might read. - The same gate running everywhere: at commit time, at the end of every AI turn, and in CI. If it passes locally it passes in CI, no surprises. **What I ended up building** A small Composer dev package. You run: ```bash composer require --dev mohamed-ashraf-elsaed/claude-kit php artisan claude-kit:install It detects your frontend stack (Inertia+Vue, Inertia+React, Blade/Livewire, or API-only), asks what you actually want (PHPStan? which level? strict-rules? Pest or PHPUnit? coverage threshold? arch tests? git hooks?), and scaffolds it — without clobbering existing files (composer.json / package.json get merged, not overwritten). The part I care about most: the quality gate is one shell script (Pint + PHPStan level 7 + strict-rules + Pest with an 80% coverage gate + frontend lint) that backs three things — the git pre-commit hook, Claude Code's Stop hook, and the CI workflow. So the AI agent's turn doesn't "finish" until the gate is green. Same script everywhere = no "works on my machine, red in CI." There's also a hybrid update model: the machinery (the gate script, the hook) is referenced from vendor/, so a composer update propagates fixes to every project. The content you own (CLAUDE.md, linter configs, skills) is written into your repo so you can edit it freely. It's MIT, PHP 8.2–8.4, Laravel 11/12/13. Repo + docs: github.com/mohamed-ashraf-elsaed/claude-kit The actual question I'm curious about: for those of you using AI agents on real codebases — how are you enforcing conventions? Just prompt/CLAUDE.md, hooks like this, CI-only, or something else? Genuinely want to hear what's working, because the "agent skips the rules" problem feels underrated. submitted by /u/MissionArea990 [link] [comments]

[Use Case] Making GPT Image 2.0 output come to life

The new image function was great to help me get visual ideas to 3d model and design. I am about to release a paint range that is affordable to most hobbyists in Australia. A dropper bottle is a better design so I got these in bulk but didn't like the fact people would just have an unattractive bottle to hold. Most of my art related stuff is grounded in historical concepts and I've saved my business strategy and vision on gpt memories. The idea we came up with after multiple back and forth was a cathedral style tied in with Abbot Suger's history and creation of stained glass. GPT output and how I 3d modelled, printed and painted the sleeve to show the actual colour. submitted by /u/ValehartProject [link] [comments]

Will AI turn us all into hipsters and artisans?

submitted by /u/technocraticnihilist [link] [comments]

Sonnet is expensive, so I built a free open-source Sheets agent on Haiku that outperform the same prompt claude/gemini, here is what I learnt.

I live in Google Sheets. Financial models, projections, scenario planning — that's most of my working day. When Claude came out, I was excited. Sonnet genuinely gets financial logic. Growth rates, margin structures, break-even analysis — it's good at this stuff. So I started using it for everything. But the actual workflow was killing me. I'd describe a financial model in Claude.ai. Sonnet would build it in the canvas — with real formulas, which is more than most tools give you. But the canvas is not Google Sheets. You export it, and formulas break on the way over. Formatting disappears. Then you want to change one assumption — say marketing cap from 25% to 20% — and you're back in Claude, re-prompting, re-exporting, checking if everything survived. Each round trip eats Sonnet credits and time. Claude has a Google Sheets extension too. Tried it, hoping it would skip the export pain. It doesn't. The integration doesn't really understand what's in your sheet. It can't build a multi-sheet model step by step, can't coordinate between an Assumptions tab and a Projections tab. It's a chat box sitting in the sidebar. Then I tried Gemini for Sheets. Asked it for a financial plan. Got rough numbers in cells. No formulas. No structure. Just values, like it ran the math once and gave me the answer sheet. So my options were: Sonnet through Claude.ai with the canvas export loop. Claude's Sheets extension that barely integrates. Or Gemini handing me a calculator. I had Claude Code and I'd been watching what Vercel was doing with their AI SDK agent framework. I thought: what if I just build the thing myself, and make it work on Haiku so it doesn't cost a fortune? Here's the part I didn't see coming: Haiku running inside my agent now produces better spreadsheets than the same prompt on Claude.ai with Sonnet. Not because Haiku is smarter. It isn't. But I learned that spreadsheet work is not a text generation problem. It's a stateful execution problem. The model needs to know what it already wrote, where it wrote it, what depends on what, and what's still missing. None of the existing tools give it that. What the agent actually built One prompt: "I'm launching FrostBrew — an artisan cold brew coffee subscription at $29/month. 50 subscribers to start, 15% monthly growth. Build me a complete 12-month financial projection with break-even analysis." The agent planned the layout, then ran 101 steps on its own: Assumptions sheet — 9 editable parameters (price, growth rate, COGS %, marketing budget, OpEx, etc.) P&L Projection — 12 months × 10 metrics, all native formulas referencing Assumptions. Subscribers growing at 15% compound, revenue, COGS at 40%, gross profit, marketing spend with caps, OpEx with growth, EBITDA, margins, cumulative EBITDA Break-Even Analysis — fixed costs, contribution margin, break-even subscribers, break-even month Executive Summary — milestone comparisons (Month 1 vs Month 6 vs Month 12), year-over-year growth, profitability status, strategic narrative 5 charts — subscriber growth, revenue trajectory, EBITDA & cumulative profitability, expense breakdown, margin evolution Professional formatting — currency, percentages, conditional highlighting, section styling Total cost: ~$0.18. One formula needed manual correction out of 101 steps. Change one assumption and the entire 4-sheet model recalculates. That's a spreadsheet, not a screenshot of one. The three things that made it work 1. The Cell Map — show the model what it wrote At first I tried prompt engineering: "remember where you placed the data," "use exact cell references." It helped a little, but different models interpreted the instructions differently. The real fix: after every step, the system builds an explicit map of the spreadsheet state and feeds it back to the model. Sheet: P&L Projection Cols: B=Month 1, C=Month 2, ..., M=Month 12 2| Subscribers : B2=50, C2:M2 formula =ROUND(B2*(1+Assumptions!$B$3)) 3| Revenue : B3:M3 formula =B2*Assumptions!$B$4 4| COGS : B4:M4 formula =B3*Assumptions!$B$5 5| Gross Profit : B5:M5 formula =B3-B4 Sheet: Assumptions (key-value) 2| Subscription Price : B2=$29 3| Starting Subscribers : B3=50 4| Monthly Growth Rate : B4=0.15 5| COGS % of Revenue : B5=0.40 The model sees exactly what exists, where it is, and what's still missing. When it needs to write "=B3*Assumptions!$B$5", it can check that cell B5 on Assumptions holds the COGS rate. No guessing. This was the single biggest improvement. And it works across every model I tested — Haiku, GPT-5.4, Qwen — because it's data, not model-specific prompting. Show the model the truth and it makes better decisions. 2. Formula-first — let the spreadsheet do the math A financial model only needs a few AI judgment calls: starting subscribers, growth rate, price, COGS ratio, base OpEx. Maybe 8 values. Everything else should be native spreadsheet logic. So the agent prefers formulas: '=ROUND(Assumptions!$B$3*(1+Assumptions!$B$4)COLUMN(-2))' for

Mon premier site 100% IA : Quand l’artisanat rencontre l’Antigravity

Fiers de vous présenter un nouveau site d’artisan peintre en région bordelaise. Ici, pas d’agence de communication, mais une équipe de choc pilotée par l’intelligence artificielle : Claude : Mon bras droit pour la structure, un peu farfelu parfois, mais mon gars sûr. Gemini : Mon expert SEO. Il brode parfois des romans, mais connaît son job. Normal, il est juge et partie ! Codex & Antigravity : Mes freelances pour le code, les bourreaux de travail ! Gemini Flash : Mon tâcheron pour les données. L’infatigable ! Le résultat ? 🚀 L’IA au service de l’artisanat… et des clients ! L’exclusivité : Ils ont lancé le premier simulateur de peinture français, entièrement paramétré par un artisan peintre bordelais. Testez vos couleurs en conditions réelles ! 👉 À découvrir ici : www.js-ambiance-peinture.fr Curieux d’avoir vos retours sur cette approche "Full IA" ! 🖌️ r/google_antigravity r/GeminiAI r/ClaudeAI submitted by /u/Charming_Care_8582 [link] [comments]

The definitive list of remaining jobs in 2036

Pretty much the Title. Things are moving faster than expected. AI-enabled humanoids as cheap as cars will be here sooner than we think. So what is actually left at scale? Feel free to add or delete from this list: — Owners and investors — Politicians and community leaders — High-stakes Judges — Military and police leadership — Ethicists (human / humanoid rights, genetics, etc.) — Elite scientists — Doctors entrusted with life/death decisions — Inspirational speakers and teachers — Few Therapists (especially to cope with AI) — Experts in transitioning to a “live without AI” lifestyle — Philosophers (including writers) — Athletes — Live theater and certain live performers — Certain artists and artisans — Religious leaders Anything to add/delete? submitted by /u/Ill_Substance_1833 [link] [comments]